Artificial Intelligence in Radiology – A Workshop for Early Career Investigators

放射学中的人工智能 – 早期职业研究人员研讨会

• 批准号: 465228590
• 负责人: Professorin Dr. Ulrike I. Attenberger
• 金额: --
• 依托单位: Klinik für Diagnostische und Interventionelle Radiologie
• 依托单位国家: 德国
• 项目类别: Workshops for Early Career Investigators
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/465228590?language=en
• 关键词: Artificial; Intelligence; Radiology; Workshop; Early

Artificial intelligence (AI) is increasingly important in modern medical imaging. AI has multiple applications, such as lesion detection and characterization, radiomics analysis, imaging biobanks, dose optimization, and structured reporting. The successful implementation of AI algorithms in medicine in the long term requires close cooperation and exchange between disciplines, especially medicine and computer science/informatics. Upcoming generations of medical professionals will need specialist training in computer science and biostatistics, and sustainable interdisciplinary networks will need to be established. Moreover, expert associations, supported by the German Radiological Society (DRG), will be required to develop quality standards along with standardized and quality-assured toolboxes as a major prerequisite for any further application of AI in medicine. This workshop provides interdisciplinary training in AI for early career researchers from the fields of medicine and computer science.

人工智能（AI）在现代医学成像中越来越重要。AI有多种应用，如病变检测和表征、放射组学分析、成像生物库、剂量优化和结构化报告。从长远来看，人工智能算法在医学中的成功实施需要学科之间的密切合作和交流，特别是医学和计算机科学/信息学。未来几代医疗专业人员将需要计算机科学和生物统计学方面的专业培训，并需要建立可持续的跨学科网络。此外，在德国放射学会（DRG）的支持下，专家协会将被要求制定质量标准沿着标准化和有质量保证的工具箱，作为人工智能在医学中进一步应用的主要先决条件。该研讨会为来自医学和计算机科学领域的早期职业研究人员提供人工智能的跨学科培训。